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Associative memories are data structures that allow retrieval of storedmessages from part of their content. They thus behave similarly to human brainthat is capable for instance of retrieving the end of a song given itsbeginning. Among different families of associative memories, sparse ones areknown to provide the best efficiency (ratio of the number of bits stored tothat of bits used). Nevertheless, it is well known that non-uniformity of thestored messages can lead to dramatic decrease in performance. We introduceseveral strategies to allow efficient storage of non-uniform messages inrecently introduced sparse associative memories. We analyse and discuss themethods introduced. We also present a practical application example.

Storing non-uniformly distributed messages in networks of neural cliques